Efficient Algorithms for Global Optimization Methods in Computer Vision

Efficient Algorithms for Global Optimization Methods in Computer Vision

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This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011. The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar. The seminar focused on the entire algorithmic development pipeline for global optimization problems in computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.On one GPU, one obvious improvement would be to use an optimized data layout by splitting the red and black grid points into two separate arrays in ... NVIDIA Cuda Programming Guide 4.2. http://developer.nvidia.com/ nvidia-gpu- computing-documentation (2012) 2. Ohshima, S., Hirasawa, S., Honda, H.: OMPCUDA : OpenMP execution framework for CUDA based on omni OpenMP compiler. ... Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters.


Title:Efficient Algorithms for Global Optimization Methods in Computer Vision
Author: Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
Publisher:Springer - 2014-04-01
ISBN-13:

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